CDO - AI Data Quality Data Scientist - Sr Manager

Data Quality Assurance

In data and analytics engineering at PwC, our focus is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Those in data science and machine learning engineering will leverage advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Growing as a strategic advisor, you will leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to : craft and convey clear, impactful and engaging messages that tell a holistic story; apply systems thinking to identify underlying problems and / or opportunities; validate outcomes with clients, share alternative perspectives, and act on client feedback; direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations; deepen and evolve your expertise with a focus on staying relevant; initiate open and honest coaching conversations at all levels; make difficult decisions and take action to resolve issues hindering team effectiveness; model and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements.

The Opportunity : As part of the Data and Analytics Engineering team you will lead the development and implementation of AI-driven automation strategies that enhance data management and improve operational productivity. As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to drive results and maintain operational excellence while mentoring performance-oriented teams to solve complex problems. This role offers the chance to work at the forefront of AI and data quality, working with diverse stakeholders to promote innovative solutions and maintain the integrity of enterprise data systems.

Responsibilities : streamline data management processes to enhance operational effectiveness; serve as a strategic advisor to stakeholders on data quality and integrity; mentor and develop top-performing teams to tackle complex challenges; maintain adherence to industry standards in enterprise data systems; analyze and interpret data trends to inform decision-making; drive continuous improvement in data management strategies.

What You Must Have : high school diploma; 6 years of experience in progressive roles on data analytics, data management, quality assurance processes / technology.

What Sets You Apart : bachelor's degree in computer science, data processing / analytics / science, engineering preferred; demonstrating in-depth abilities in AI-driven automation strategies; leading AI and automation teams in scalable model deployment; enhancing data quality through AI-powered analytics; integrating AI solutions into data ecosystems; advocating for software engineering practices in machine learning; mentoring team members to foster innovation and accountability; managing collaboration across analytics and AI efforts; staying current on emerging trends in AI and automation.